Elementary Statistics (STAT 201)
Class Meetings
- Lectures: Mondays and Wednesdays, 5:50 - 7:40 PM, LC210
- Labs:
- Section Y01, Wed, 5:50 – 7:40 PM, LC 200A
- Section Y02, Wed, 5:50 – 7:40 PM, LC 205
- Section Y03, Wed, 5:50 – 7:40 PM, LC 124
Lecturer and TAs
- Lecture Instructor: Xiangyang Cao (mailto:xc1@email.sc.edu)
- Lab Instructors:
- Section Y01: Xiangyang Cao
- Section Y02: Ibraheem Kolawole Adams
- Section Y03: Caroline Marie Kerfonta
Syllabus
Course Materials
Date | Slides | Notes |
---|---|---|
Jan 14th | Descriptive Statisitcs | Descriptive Statistics |
Jan 21th | Holiday | Holiday |
Jan 28th | Descriptive Statisitcs - Association | Descriptive Statisitcs - Association |
Feb 4th | Review Exam 1 | Review Exam 1 |
Feb 13th | Probability | Probability |
Feb 18th | Probability Distribution | Probability Distribution |
Feb 25th | Review Exam 2 | Review Exam 2 |
Mar 6th | Sampling Distribution | Sampling Distribution |
Mar 18th | One Sample Inference | One Sample Inference |
Mar 25th | One Sample Inference | One Sample Inference |
Apr 1th | Review Exam 3 | Review Exam 3 |
Apr 8th | One Sample Inference | One Sample Inference |
Apr 15th | Two Sample Inference | Two Sample Inference |
Apr 22th | Two Sample Inference | Two Sample Inference |
Apr 29th | Review Final Exam | Review Final Exam |
(Notes: the notes are generated automatically by the slides, basically they contains the same materials.)
Textbooks
Statistics: The art and science of learning from data
Useful Links
- z-table
- t-table (Cutted from the appendix of Statistics: The art and science of learning from data)
- breaking distance dataset
- salt free diet dataset
- ebay sales dataset